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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Algorithms for Caching and MTS with reduced number of predictions ICLR 2024 Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024 Alias-Free Mamba Neural Operator NeurIPS 2024 A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging ICLR 2024 Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning ICML 2024 Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control NeurIPS 2024 Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem NeurIPS 2024 Aligning Individual and Collective Objectives in Multi-Agent Cooperation NeurIPS 2024 Aligning Large Language Models by On-Policy Self-Judgment ACL 2024 Aligning Large Language Models with Representation Editing: A Control Perspective NeurIPS 2024 Aligning Model Properties via Conformal Risk Control NeurIPS 2024 Aligning Relational Learning with Lipschitz Fairness ICLR 2024 Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization NeurIPS 2024 Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps ICLR 2024 Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization NeurIPS 2024 All-in-one simulation-based inference ICML 2024 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024 Almost Surely Asymptotically Constant Graph Neural Networks NeurIPS 2024 A Logic for Reasoning about Aggregate-Combine Graph Neural Networks IJCAI 2024 A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization AISTATS 2024 AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality EMNLP 2024 AlphaMath Almost Zero: Process Supervision without Process NeurIPS 2024 ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models NeurIPS 2024 Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization ALT 2024